Hi, could you tell me please which is the fastest and most accurate way/algorithm/code of cross-validating a Multivariate Polynomial Regression with K-folds? I have a dataframe of 5 input variables and I want to predict one output variable. Every variable features a different power for which the error is the smallest.
I was replicating the steps from this video: https://www.youtube.com/watch?v=6dSXlqHAoMk Ideally, I would want to use also GAM and ANN to see which method behaves faster and more accurately. Could you also suggest me other non-linear models? Thank you in advance, Nick [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
